Background/aims We assessed the associations between retinopathy of prematurity (ROP) and continuous measurements of oxygen saturation (SpO2), and developed a risk prediction model for severe ROP using birth data and SpO2 data. Methods This retrospective study included infants who were born before 30 weeks of gestation between August 2009 and January 2019 and who were screened for ROP at a single hospital in Japan. We extracted data on birth weight (BW), birth length, gestational age (GA) and minute-by-minute SpO2 during the first 20 days from the medical records. We defined four SpO2 variables using sequential measurements. Multivariate logistic regression was used to develop a model that combined birth data and SpO2 data to predict treatment-requiring ROP (TR-ROP). The model’s performance was evaluated using the area under the receiver operating characteristic curve (AUC). Results Among 350 infants, 83 (23.7%) required ROP treatment. The SpO2 variables in infants with TR-ROP differed significantly from those with non-TR-ROP. The average SpO2 and high SpO2 showed strong associations with GA (r=0.73 and r=0.70, respectively). The model incorporating birth data and the four SpO2 variables demonstrated good discriminative ability (AUC=0.83), but it did not outperform the model incorporating BW and GA (AUC=0.82). Conclusion Data obtained by continuous SpO2 monitoring demonstrated valuable associations with severe ROP, as well as with GA. Differences in the distribution of average SpO2 and high SpO2 between infants with TR-ROP and non-TR-ROP could be used to establish efficient cut-off values for risk determination. Data are available on reasonable request.

中文翻译：

---

日本队列中的连续氧饱和度和早产儿视网膜病变的风险


背景/目标 我们评估了早产儿视网膜病变 (ROP) 与连续测量血氧饱和度 (SpO2) 之间的关联，并使用出生数据和 SpO2 数据开发了严重 ROP 的风险预测模型。方法 这项回顾性研究纳入了 2009 年 8 月至 2019 年 1 月期间出生的妊娠 30 周前出生的婴儿，这些婴儿在日本一家医院接受了 ROP 筛查。我们从医疗记录中提取了出生体重 (BW)、出生身长、胎龄 (GA) 和前 20 天内每分钟 SpO2 的数据。我们使用连续测量定义了四个 SpO2 变量。使用多变量逻辑回归开发了一个模型，该模型结合出生数据和 SpO2 数据来预测需要治疗的 ROP (TR-ROP)。使用受试者工作特征曲线下面积 (AUC) 评估模型的性能。结果 350 名婴儿中，83 名（23.7%）需要 ROP 治疗。 TR-ROP 婴儿的 SpO2 变量与非 TR-ROP 婴儿存在显着差异。平均 SpO2 和高 SpO2 显示与 GA 密切相关（分别为 r=0.73 和 r=0.70）。结合出生数据和四个 SpO2 变量的模型表现出良好的判别能力（AUC=0.83），但它并没有优于结合 BW 和 GA 的模型（AUC=0.82）。结论 通过连续 SpO2 监测获得的数据表明与严重 ROP 以及 GA 具有有价值的关联。 TR-ROP 和非 TR-ROP 婴儿之间平均 SpO2 和高 SpO2 分布的差异可用于建立风险确定的有效截止值。可根据合理要求提供数据。